{"id":"W3187447023","doi":"10.1038/s41596-021-00586-2","title":"Interrogating in vivo T-cell metabolism in mice using stable isotope labeling metabolomics and rapid cell sorting","year":2021,"lang":"en","type":"article","venue":"Nature Protocols","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Metabolomics; In vivo; Metabolite; Biology; Metabolic pathway; Metabolism; Immune system; Biochemistry; Metabolome; Cell; Chemistry; Cell biology; Immunology; Bioinformatics; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008836531,0.001618616,0.0006530368,0.001761114,0.0007091326,0.001351975,0.001063772,0.001437832,0.002493847],"category_scores_gemma":[0.0003208361,0.0008186303,0.0009428787,0.0007830141,0.001187784,0.001033194,0.0005285933,0.003787724,0.001212506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009989281,"about_ca_system_score_gemma":0.000805462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001619423,"about_ca_topic_score_gemma":0.004227936,"domain_scores_codex":[0.9993374,0.00008748277,0.00004964764,0.0002137528,0.0001754542,0.0001362145],"domain_scores_gemma":[0.9992969,0.00007550457,0.0002737022,0.00008292808,0.00008980981,0.0001810739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003197895,0.00003827132,0.0001412095,0.0000245453,0.000009026955,0.00002133959,0.00001659118,0.00009483315,0.9980593,0.0002973724,0.0001087893,0.0008687876],"study_design_scores_gemma":[0.00004480832,0.0002097379,0.0009235228,0.000006260541,0.00003087877,0.00008383944,0.00002768591,0.001058428,0.9955394,0.0001718773,0.00189258,0.00001101595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.8259385,0.003832547,0.141849,0.002256737,0.0005946328,0.0008542786,0.01340923,0.003347302,0.007917851],"genre_scores_gemma":[0.845119,0.004048051,0.1124506,0.001312479,0.0001900566,0.002089494,0.006628399,0.001679057,0.02648287],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.002493847,"threshold_uncertainty_score":0.008342803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360745619186002,"score_gpt":0.2905709895763247,"score_spread":0.2769635333844647,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}